The name of a person can convey various demographic features of the individual. This demographic information plays a crucial role in multiple studies related to racial inequality, recommendation systems, biomedical studies, hate-speech target identification, group sentiment analysis etc. [1]}, [2]}, [3]}, [4]}, [5]}. Consequently, much work has been done on demographic classification and a variety of online web APIs and tools capable of predicting demographics from user name [6]}, [7]}, [8]}) exist.
Most of this research work, however, is focused on US demographics [1]}, [10]}, and many of the works [6]}, [7]}, [8]}, [1]} build classifiers that require a proper division of the first name, middle name, and last name to work. So, we introduce caste and gender-specific datasets on Indian demographics, which hosts one-seventh of the world population. Indian names vary significantly over states when compared to other countries due to high religious, ethno-demographic and linguistic variancehttps://www.britannica.com/place/India/Indo-European-languages. Also, Indian names do not always fall under the division of first/middle/last name, primarily because the name of a person may contain the name of their ancestors (e.g., Avul Pakir Jainulabdeen Abdul Kalam, former President of India - here the first name of the person is Abdul). Indian names may also contain the name of father in the name of a woman. This can make gender or race detection difficult in faulty name segmentation.
